Triple
T19619846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergens |
E470972
|
entity |
| Predicate | homeLocation |
P75
|
FINISHED |
| Object |
Bergen Town
Bergen Town is the colorful, hillside settlement of the Bergens in the animated film "Trolls," known for its gloomy atmosphere and obsession with capturing trolls for happiness.
|
E470972
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bergen Town | Statement: [Bergens, homeLocation, Bergen Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergen Town Context triple: [Bergens, homeLocation, Bergen Town]
-
A.
Stord
Stord is a large island and municipality in Vestland county, western Norway, known for its industrial activity and location along major fjords and shipping routes.
-
B.
Bryne
Bryne is a town in southwestern Norway known for its agricultural surroundings and as a regional commercial center in the municipality of Time, Rogaland.
-
C.
Bergens
The Bergens are a race of gloomy, troll-eating creatures who serve as the primary villains in the animated film "Trolls."
-
D.
Borger
Borger is a small industrial city in the Texas Panhandle known historically for its oil and gas production.
-
E.
Montrose
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bergen Town Triple: [Bergens, homeLocation, Bergen Town]
Generated description
Bergen Town is the colorful, hillside settlement of the Bergens in the animated film "Trolls," known for its gloomy atmosphere and obsession with capturing trolls for happiness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergen Town Target entity description: Bergen Town is the colorful, hillside settlement of the Bergens in the animated film "Trolls," known for its gloomy atmosphere and obsession with capturing trolls for happiness.
-
A.
Stord
Stord is a large island and municipality in Vestland county, western Norway, known for its industrial activity and location along major fjords and shipping routes.
-
B.
Bryne
Bryne is a town in southwestern Norway known for its agricultural surroundings and as a regional commercial center in the municipality of Time, Rogaland.
-
C.
Bergens
chosen
The Bergens are a race of gloomy, troll-eating creatures who serve as the primary villains in the animated film "Trolls."
-
D.
Borger
Borger is a small industrial city in the Texas Panhandle known historically for its oil and gas production.
-
E.
Montrose
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771b823e0819092d7a9ffb3e0c728 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a0772c372148190a09475bf5c6515d2 |
completed | May 15, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a077334652c8190b044d444e3004f29 |
completed | May 15, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:43 p.m.